In recent years, neural style transfer for images has achieved great success. Given a style image (e.g., “The Starry Night” by Vincent van Gogh), these models can transfer an ordinary image to an image with the same style as the style image, which is called stylized image. The first method reported in this field was an optimization-based algorithm [1]} that adjusts the input iteratively according to certain goals defined by convolutional neural networks. Subsequently, many computationally more efficient learning-based neural networks were proposed[2]}, [3]}, [4]}, [5]}, [6]}, [7]}.
